Patrick Rubin-Delanchy
7 papers · 2020–2025 · 3 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Silver
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Taxonomy Completionist
(14)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Machine Learning
(6)
Core Methods
(6)
Data Science & Analytics
(3)
Deep Learning
(2)
Mathematics & Optimization
(2)
Architectures
(2)
Mathematics
(2)
Methods
(2)
Optimization & Theory
(2)
Computer Science
(1)
Applications · Computer Science
(1)
Applications · Data Science & Analytics
(1)
Learning Types
(1)
Keywords
graph representation learning
(3)
spectral embedding
(3)
manifold learning
(2)
dynamic network
(2)
dimensionality reduction
(2)
graph embedding
(1)
kernel smoothing
(1)
agglomerative clustering
(1)
latent position
(1)
probabilistic graphical model
(1)
tree structure
(1)
node embedding
(1)
dynamic graph
(1)
prediction set
(1)
temporal coherence
(1)
intensity function
(1)
node representation
(1)
matrix factorisation
(1)
sparse graph
(1)
nonlinear dimension reduction
(1)
Papers
Valid Conformal Prediction for Dynamic GNNs
ICLR 2025
Hierarchical clustering with dot products recovers hidden tree structure
NeurIPS 2023
Implications of sparsity and high triangle density for graph representation learning
AISTATS 2023
Intensity Profile Projection: A Framework for Continuous-Time Representation Learning for Dynamic Networks
NeurIPS 2023
Matrix factorisation and the interpretation of geodesic distance
NeurIPS 2021
Spectral embedding for dynamic networks with stability guarantees
NeurIPS 2021
Manifold structure in graph embeddings
NeurIPS 2020